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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 9379
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <?
    -0.74
    lly
    -0.71
     è£ıè
    -0.70
    mobi
    -0.70
    âĺ
    -0.69
    ãĤ¤ãĥĪ
    -0.68
    Õ
    -0.66
    İĭ
    -0.65
    0001
    -0.64
    00200000
    -0.63
    POSITIVE LOGITS
     rains
    0.86
     slightest
    0.85
     curtain
    0.82
     dust
    0.75
     whistle
    0.73
     lights
    0.70
     tide
    0.69
     gunman
    0.68
     timer
    0.68
     resumed
    0.67
    Activations Density 0.227%

    No Known Activations